
Mid-level Data Engineer
Posted Sep 1

Posted Sep 1
This is a fully remote position, open to applicants in Brazil.
• Create, develop, and uphold scalable data pipelines and infrastructure.
• Lead data analytics and machine learning initiatives for international clients.
• Work collaboratively with cross-functional teams to guarantee data integrity and usability.
• Document data workflows, processes, and architectures thoroughly.
• Incorporate data quality measures into data pipelines.
• Build CI/CD pipelines for ETL processes.
• Offer technical assistance and resolve data-related challenges.
• Strong communication skills in reading, writing, and speaking.
• Demonstrated experience with modern data engineering stacks in cloud environments.
• Experience with the Databricks platform is essential for this role.
• Prior experience with Spark, Python, and SQL is required.
• Familiarity with CI/CD pipelines for ETL processes.
• Proficiency in dimensional data modeling.
• Experience in implementing Data Lake/Data Warehouse solutions.
• Databricks certification is advantageous.
• Experience collaborating with international clients.
• Experience with Azure or AWS platforms.
• Proficient in Power BI.
• Understanding of Data Quality practices.
• Knowledge of Data Governance utilizing Unity Catalog.
• Awareness of FinOps as it applies to the data domain.
• Health and dental insurance.
• Meal and food allowances.
• Assistance with childcare.
• Extended paternity leave.
• Partnerships with fitness centers and health professionals through Wellhub (Gympass) TotalPass.
• Profit Sharing and Results Participation (PLR).
• Life insurance coverage.
• Access to a continuous learning platform (CI&T University).
• Discount club membership.
• Free access to an online platform focused on physical, mental, and overall well-being.
• Courses on pregnancy and responsible parenting.
• Collaborations with online learning platforms.
• Language learning opportunities.
• A dedicated Health and Well-being team, inclusion specialists, and affinity groups.
• Support and accommodations for individuals with disabilities during the selection process.
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